Overview

Dataset statistics

Number of variables21
Number of observations4213
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory691.3 KiB
Average record size in memory168.0 B

Variable types

Numeric21

Alerts

angle_of_incidence is highly overall correlated with generated_power_kw and 2 other fieldsHigh correlation
azimuth is highly overall correlated with relative_humidity_2_m_above_gnd and 1 other fieldsHigh correlation
generated_power_kw is highly overall correlated with angle_of_incidence and 2 other fieldsHigh correlation
low_cloud_cover_low_cld_lay is highly overall correlated with total_cloud_cover_sfcHigh correlation
medium_cloud_cover_mid_cld_lay is highly overall correlated with total_cloud_cover_sfcHigh correlation
relative_humidity_2_m_above_gnd is highly overall correlated with azimuth and 2 other fieldsHigh correlation
shortwave_radiation_backwards_sfc is highly overall correlated with angle_of_incidence and 5 other fieldsHigh correlation
temperature_2_m_above_gnd is highly overall correlated with relative_humidity_2_m_above_gnd and 2 other fieldsHigh correlation
total_cloud_cover_sfc is highly overall correlated with low_cloud_cover_low_cld_lay and 1 other fieldsHigh correlation
wind_direction_10_m_above_gnd is highly overall correlated with wind_direction_80_m_above_gnd and 1 other fieldsHigh correlation
wind_direction_80_m_above_gnd is highly overall correlated with wind_direction_10_m_above_gnd and 1 other fieldsHigh correlation
wind_direction_900_mb is highly overall correlated with wind_direction_10_m_above_gnd and 1 other fieldsHigh correlation
wind_gust_10_m_above_gnd is highly overall correlated with wind_speed_10_m_above_gnd and 2 other fieldsHigh correlation
wind_speed_10_m_above_gnd is highly overall correlated with wind_gust_10_m_above_gnd and 2 other fieldsHigh correlation
wind_speed_80_m_above_gnd is highly overall correlated with wind_gust_10_m_above_gnd and 2 other fieldsHigh correlation
wind_speed_900_mb is highly overall correlated with wind_gust_10_m_above_gnd and 2 other fieldsHigh correlation
zenith is highly overall correlated with angle_of_incidence and 3 other fieldsHigh correlation
snowfall_amount_sfc is highly skewed (γ1 = 26.27829894)Skewed
generated_power_kw has unique valuesUnique
total_precipitation_sfc has 3906 (92.7%) zerosZeros
snowfall_amount_sfc has 4166 (98.9%) zerosZeros
total_cloud_cover_sfc has 1668 (39.6%) zerosZeros
high_cloud_cover_high_cld_lay has 2910 (69.1%) zerosZeros
medium_cloud_cover_mid_cld_lay has 2807 (66.6%) zerosZeros
low_cloud_cover_low_cld_lay has 2681 (63.6%) zerosZeros
shortwave_radiation_backwards_sfc has 531 (12.6%) zerosZeros

Reproduction

Analysis started2024-03-15 20:00:52.243019
Analysis finished2024-03-15 20:01:22.532990
Duration30.29 seconds
Software versionydata-profiling vv4.6.5
Download configurationconfig.json

Variables

temperature_2_m_above_gnd
Real number (ℝ)

HIGH CORRELATION 

Distinct2413
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.068111
Minimum-5.35
Maximum34.9
Zeros1
Zeros (%)< 0.1%
Negative129
Negative (%)3.1%
Memory size33.0 KiB
2024-03-16T01:31:22.601671image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-5.35
5-th percentile1.346
Q18.39
median14.75
Q321.29
95-th percentile30.642
Maximum34.9
Range40.25
Interquartile range (IQR)12.9

Descriptive statistics

Standard deviation8.8536768
Coefficient of variation (CV)0.5875771
Kurtosis-0.71074666
Mean15.068111
Median Absolute Deviation (MAD)6.43
Skewness0.14598647
Sum63481.95
Variance78.387593
MonotonicityNot monotonic
2024-03-16T01:31:22.811680image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.64 7
 
0.2%
12.35 7
 
0.2%
17.5 7
 
0.2%
15.06 6
 
0.1%
16.32 6
 
0.1%
14.08 6
 
0.1%
16.64 6
 
0.1%
13.75 6
 
0.1%
13.24 6
 
0.1%
15.84 6
 
0.1%
Other values (2403) 4150
98.5%
ValueCountFrequency (%)
-5.35 1
< 0.1%
-5.05 1
< 0.1%
-4.92 1
< 0.1%
-4.84 1
< 0.1%
-4.58 1
< 0.1%
-4.53 1
< 0.1%
-4.38 1
< 0.1%
-4.36 1
< 0.1%
-4.35 1
< 0.1%
-4.33 1
< 0.1%
ValueCountFrequency (%)
34.9 1
< 0.1%
34.85 1
< 0.1%
34.81 1
< 0.1%
34.76 1
< 0.1%
34.66 1
< 0.1%
34.63 1
< 0.1%
34.61 1
< 0.1%
34.54 1
< 0.1%
34.49 1
< 0.1%
34.47 1
< 0.1%

relative_humidity_2_m_above_gnd
Real number (ℝ)

HIGH CORRELATION 

Distinct94
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.361025
Minimum7
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:22.901683image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile18
Q132
median48
Q370
95-th percentile93
Maximum100
Range93
Interquartile range (IQR)38

Descriptive statistics

Standard deviation23.525864
Coefficient of variation (CV)0.45804895
Kurtosis-1.0259103
Mean51.361025
Median Absolute Deviation (MAD)19
Skewness0.29687054
Sum216384
Variance553.46626
MonotonicityNot monotonic
2024-03-16T01:31:22.991815image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 80
 
1.9%
33 79
 
1.9%
26 77
 
1.8%
48 77
 
1.8%
24 76
 
1.8%
40 76
 
1.8%
35 74
 
1.8%
25 73
 
1.7%
36 69
 
1.6%
44 68
 
1.6%
Other values (84) 3464
82.2%
ValueCountFrequency (%)
7 2
 
< 0.1%
8 4
 
0.1%
9 5
 
0.1%
10 5
 
0.1%
11 14
0.3%
12 7
 
0.2%
13 16
0.4%
14 20
0.5%
15 31
0.7%
16 33
0.8%
ValueCountFrequency (%)
100 3
 
0.1%
99 9
 
0.2%
98 10
 
0.2%
97 15
 
0.4%
96 34
0.8%
95 46
1.1%
94 63
1.5%
93 41
1.0%
92 49
1.2%
91 44
1.0%
Distinct376
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1019.3378
Minimum997.5
Maximum1046.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:23.081047image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum997.5
5-th percentile1009.86
Q11014.5
median1018.1
Q31023.6
95-th percentile1032.3
Maximum1046.8
Range49.3
Interquartile range (IQR)9.1

Descriptive statistics

Standard deviation7.022867
Coefficient of variation (CV)0.0068896366
Kurtosis0.19192976
Mean1019.3378
Median Absolute Deviation (MAD)4.2
Skewness0.51727957
Sum4294470.2
Variance49.320662
MonotonicityNot monotonic
2024-03-16T01:31:23.170758image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1016.9 40
 
0.9%
1018.1 40
 
0.9%
1014.1 39
 
0.9%
1017 37
 
0.9%
1017.3 37
 
0.9%
1018.7 37
 
0.9%
1016.6 37
 
0.9%
1017.6 36
 
0.9%
1015.8 35
 
0.8%
1014.8 35
 
0.8%
Other values (366) 3840
91.1%
ValueCountFrequency (%)
997.5 1
< 0.1%
998.3 1
< 0.1%
998.5 1
< 0.1%
999.2 1
< 0.1%
1000.3 2
< 0.1%
1000.5 1
< 0.1%
1000.7 2
< 0.1%
1000.8 1
< 0.1%
1000.9 2
< 0.1%
1001 1
< 0.1%
ValueCountFrequency (%)
1046.8 1
< 0.1%
1046.6 2
< 0.1%
1045.1 1
< 0.1%
1044 1
< 0.1%
1042.8 1
< 0.1%
1042.4 1
< 0.1%
1042.3 1
< 0.1%
1042.2 1
< 0.1%
1042.1 2
< 0.1%
1041.9 1
< 0.1%

total_precipitation_sfc
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031758842
Minimum0
Maximum3.2
Zeros3906
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:23.246594image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.2
Maximum3.2
Range3.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17021205
Coefficient of variation (CV)5.3595171
Kurtosis94.178894
Mean0.031758842
Median Absolute Deviation (MAD)0
Skewness8.6303359
Sum133.8
Variance0.028972143
MonotonicityNot monotonic
2024-03-16T01:31:23.321147image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3906
92.7%
0.1 83
 
2.0%
0.2 56
 
1.3%
0.3 52
 
1.2%
0.4 30
 
0.7%
0.5 20
 
0.5%
0.7 12
 
0.3%
0.6 10
 
0.2%
1.1 6
 
0.1%
0.8 6
 
0.1%
Other values (13) 32
 
0.8%
ValueCountFrequency (%)
0 3906
92.7%
0.1 83
 
2.0%
0.2 56
 
1.3%
0.3 52
 
1.2%
0.4 30
 
0.7%
0.5 20
 
0.5%
0.6 10
 
0.2%
0.7 12
 
0.3%
0.8 6
 
0.1%
0.9 2
 
< 0.1%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
2.3 1
 
< 0.1%
2.2 3
0.1%
2 2
< 0.1%
1.9 2
< 0.1%
1.7 2
< 0.1%
1.6 2
< 0.1%
1.5 4
0.1%
1.4 4
0.1%
1.3 4
0.1%

snowfall_amount_sfc
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0028079753
Minimum0
Maximum1.68
Zeros4166
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:23.387069image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.68
Range1.68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.038014847
Coefficient of variation (CV)13.53817
Kurtosis973.3
Mean0.0028079753
Median Absolute Deviation (MAD)0
Skewness26.278299
Sum11.83
Variance0.0014451286
MonotonicityNot monotonic
2024-03-16T01:31:23.454867image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 4166
98.9%
0.14 12
 
0.3%
0.07 11
 
0.3%
0.21 8
 
0.2%
0.28 6
 
0.1%
0.42 2
 
< 0.1%
0.35 2
 
< 0.1%
0.63 2
 
< 0.1%
0.49 2
 
< 0.1%
1.68 1
 
< 0.1%
ValueCountFrequency (%)
0 4166
98.9%
0.07 11
 
0.3%
0.14 12
 
0.3%
0.21 8
 
0.2%
0.28 6
 
0.1%
0.35 2
 
< 0.1%
0.42 2
 
< 0.1%
0.49 2
 
< 0.1%
0.56 1
 
< 0.1%
0.63 2
 
< 0.1%
ValueCountFrequency (%)
1.68 1
 
< 0.1%
0.63 2
 
< 0.1%
0.56 1
 
< 0.1%
0.49 2
 
< 0.1%
0.42 2
 
< 0.1%
0.35 2
 
< 0.1%
0.28 6
0.1%
0.21 8
0.2%
0.14 12
0.3%
0.07 11
0.3%

total_cloud_cover_sfc
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct160
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.05699
Minimum0
Maximum100
Zeros1668
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:23.541526image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.7
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation42.843638
Coefficient of variation (CV)1.2579983
Kurtosis-1.298113
Mean34.05699
Median Absolute Deviation (MAD)8.7
Skewness0.73949911
Sum143482.1
Variance1835.5773
MonotonicityNot monotonic
2024-03-16T01:31:23.631732image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1668
39.6%
100 1076
25.5%
10 306
 
7.3%
30 64
 
1.5%
2 32
 
0.8%
0.3 26
 
0.6%
3 25
 
0.6%
0.6 23
 
0.5%
1.2 18
 
0.4%
4.8 18
 
0.4%
Other values (150) 957
22.7%
ValueCountFrequency (%)
0 1668
39.6%
0.3 26
 
0.6%
0.6 23
 
0.5%
0.9 17
 
0.4%
1 15
 
0.4%
1.2 18
 
0.4%
1.5 15
 
0.4%
1.8 6
 
0.1%
2 32
 
0.8%
2.1 15
 
0.4%
ValueCountFrequency (%)
100 1076
25.5%
99 1
 
< 0.1%
98 4
 
0.1%
97 4
 
0.1%
96 2
 
< 0.1%
95 1
 
< 0.1%
94 5
 
0.1%
93 4
 
0.1%
92 5
 
0.1%
91 7
 
0.2%

high_cloud_cover_high_cld_lay
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.458818
Minimum0
Maximum100
Zeros2910
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:23.721062image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)9

Descriptive statistics

Standard deviation30.711707
Coefficient of variation (CV)2.1240815
Kurtosis3.0533309
Mean14.458818
Median Absolute Deviation (MAD)0
Skewness2.1432886
Sum60915
Variance943.20895
MonotonicityNot monotonic
2024-03-16T01:31:23.808674image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2910
69.1%
100 380
 
9.0%
1 47
 
1.1%
2 45
 
1.1%
3 32
 
0.8%
4 31
 
0.7%
5 30
 
0.7%
16 30
 
0.7%
12 26
 
0.6%
17 25
 
0.6%
Other values (87) 657
 
15.6%
ValueCountFrequency (%)
0 2910
69.1%
1 47
 
1.1%
2 45
 
1.1%
3 32
 
0.8%
4 31
 
0.7%
5 30
 
0.7%
6 10
 
0.2%
7 22
 
0.5%
8 18
 
0.4%
9 24
 
0.6%
ValueCountFrequency (%)
100 380
9.0%
98 3
 
0.1%
97 4
 
0.1%
96 5
 
0.1%
95 4
 
0.1%
94 3
 
0.1%
93 1
 
< 0.1%
92 3
 
0.1%
91 3
 
0.1%
90 2
 
< 0.1%

medium_cloud_cover_mid_cld_lay
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct98
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.023499
Minimum0
Maximum100
Zeros2807
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:23.892005image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation36.387948
Coefficient of variation (CV)1.8172623
Kurtosis0.5945203
Mean20.023499
Median Absolute Deviation (MAD)0
Skewness1.537975
Sum84359
Variance1324.0828
MonotonicityNot monotonic
2024-03-16T01:31:23.982990image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2807
66.6%
100 587
 
13.9%
10 270
 
6.4%
2 21
 
0.5%
4 13
 
0.3%
6 12
 
0.3%
65 11
 
0.3%
36 11
 
0.3%
1 11
 
0.3%
3 10
 
0.2%
Other values (88) 460
 
10.9%
ValueCountFrequency (%)
0 2807
66.6%
1 11
 
0.3%
2 21
 
0.5%
3 10
 
0.2%
4 13
 
0.3%
5 8
 
0.2%
6 12
 
0.3%
7 3
 
0.1%
8 8
 
0.2%
9 6
 
0.1%
ValueCountFrequency (%)
100 587
13.9%
98 2
 
< 0.1%
97 3
 
0.1%
96 2
 
< 0.1%
95 1
 
< 0.1%
94 5
 
0.1%
93 3
 
0.1%
92 3
 
0.1%
91 2
 
< 0.1%
90 5
 
0.1%

low_cloud_cover_low_cld_lay
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct99
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.373368
Minimum0
Maximum100
Zeros2681
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:24.072831image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation38.013885
Coefficient of variation (CV)1.7785632
Kurtosis0.25278541
Mean21.373368
Median Absolute Deviation (MAD)0
Skewness1.4492819
Sum90046
Variance1445.0555
MonotonicityNot monotonic
2024-03-16T01:31:24.178996image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2681
63.6%
100 690
 
16.4%
10 291
 
6.9%
2 45
 
1.1%
1 30
 
0.7%
3 28
 
0.7%
5 20
 
0.5%
4 19
 
0.5%
6 18
 
0.4%
9 13
 
0.3%
Other values (89) 378
 
9.0%
ValueCountFrequency (%)
0 2681
63.6%
1 30
 
0.7%
2 45
 
1.1%
3 28
 
0.7%
4 19
 
0.5%
5 20
 
0.5%
6 18
 
0.4%
7 9
 
0.2%
8 8
 
0.2%
9 13
 
0.3%
ValueCountFrequency (%)
100 690
16.4%
99 1
 
< 0.1%
98 3
 
0.1%
97 3
 
0.1%
95 1
 
< 0.1%
94 1
 
< 0.1%
93 2
 
< 0.1%
92 3
 
0.1%
91 6
 
0.1%
89 3
 
0.1%

shortwave_radiation_backwards_sfc
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1015
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.75904
Minimum0
Maximum952.3
Zeros531
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:24.274014image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1142.4
median381.81
Q3599.86
95-th percentile862.766
Maximum952.3
Range952.3
Interquartile range (IQR)457.46

Descriptive statistics

Standard deviation278.45929
Coefficient of variation (CV)0.71812458
Kurtosis-1.0542295
Mean387.75904
Median Absolute Deviation (MAD)225.17
Skewness0.1726937
Sum1633628.8
Variance77539.578
MonotonicityNot monotonic
2024-03-16T01:31:24.351623image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 531
 
12.6%
2.67 19
 
0.5%
1.78 15
 
0.4%
5.34 13
 
0.3%
385.37 11
 
0.3%
388.04 11
 
0.3%
351.55 11
 
0.3%
251.87 11
 
0.3%
421.86 11
 
0.3%
0.89 10
 
0.2%
Other values (1005) 3570
84.7%
ValueCountFrequency (%)
0 531
12.6%
0.89 10
 
0.2%
1.78 15
 
0.4%
2.67 19
 
0.5%
3.56 10
 
0.2%
4.45 9
 
0.2%
5.34 13
 
0.3%
6.23 4
 
0.1%
7.12 5
 
0.1%
8.01 8
 
0.2%
ValueCountFrequency (%)
952.3 1
< 0.1%
946.96 1
< 0.1%
945.18 1
< 0.1%
942.51 1
< 0.1%
941.62 1
< 0.1%
938.95 2
< 0.1%
938.06 1
< 0.1%
937.17 2
< 0.1%
936.28 2
< 0.1%
935.39 1
< 0.1%

wind_speed_10_m_above_gnd
Real number (ℝ)

HIGH CORRELATION 

Distinct1505
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.228787
Minimum0
Maximum61.18
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:24.433744image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55
Q19.01
median14.46
Q321.84
95-th percentile35.78
Maximum61.18
Range61.18
Interquartile range (IQR)12.83

Descriptive statistics

Standard deviation9.8769477
Coefficient of variation (CV)0.60860665
Kurtosis1.141266
Mean16.228787
Median Absolute Deviation (MAD)6.17
Skewness1.0177509
Sum68371.88
Variance97.554096
MonotonicityNot monotonic
2024-03-16T01:31:24.524105image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.69 17
 
0.4%
9.01 15
 
0.4%
11.97 15
 
0.4%
15.48 14
 
0.3%
2.9 14
 
0.3%
1.8 14
 
0.3%
7.9 14
 
0.3%
16.6 13
 
0.3%
8.56 13
 
0.3%
10.44 13
 
0.3%
Other values (1495) 4071
96.6%
ValueCountFrequency (%)
0 3
0.1%
0.36 7
0.2%
0.51 3
0.1%
0.72 6
0.1%
0.8 7
0.2%
1.02 2
 
< 0.1%
1.08 6
0.1%
1.14 4
0.1%
1.3 6
0.1%
1.44 3
0.1%
ValueCountFrequency (%)
61.18 1
< 0.1%
59.89 1
< 0.1%
55.92 1
< 0.1%
55.63 1
< 0.1%
55.29 1
< 0.1%
54.94 1
< 0.1%
54.67 1
< 0.1%
54.4 1
< 0.1%
53.53 1
< 0.1%
53.46 1
< 0.1%

wind_direction_10_m_above_gnd
Real number (ℝ)

HIGH CORRELATION 

Distinct2497
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.07845
Minimum0.54
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:24.609857image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.54
5-th percentile12.68
Q1153.19
median191.77
Q3292.07
95-th percentile350.802
Maximum360
Range359.46
Interquartile range (IQR)138.88

Descriptive statistics

Standard deviation106.62678
Coefficient of variation (CV)0.54658411
Kurtosis-0.91602431
Mean195.07845
Median Absolute Deviation (MAD)84.86
Skewness-0.30077309
Sum821865.52
Variance11369.271
MonotonicityNot monotonic
2024-03-16T01:31:24.693151image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 89
 
2.1%
360 71
 
1.7%
270 36
 
0.9%
315 22
 
0.5%
90 18
 
0.4%
225 17
 
0.4%
206.57 17
 
0.4%
45 16
 
0.4%
18.43 15
 
0.4%
165.96 15
 
0.4%
Other values (2487) 3897
92.5%
ValueCountFrequency (%)
0.54 1
< 0.1%
0.84 1
< 0.1%
1.04 1
< 0.1%
1.12 1
< 0.1%
1.19 1
< 0.1%
1.27 1
< 0.1%
1.43 2
< 0.1%
1.45 1
< 0.1%
1.51 1
< 0.1%
1.55 1
< 0.1%
ValueCountFrequency (%)
360 71
1.7%
359.05 1
 
< 0.1%
358.92 1
 
< 0.1%
358.9 1
 
< 0.1%
358.88 1
 
< 0.1%
358.85 1
 
< 0.1%
358.67 4
 
0.1%
358.64 1
 
< 0.1%
358.6 2
 
< 0.1%
358.53 1
 
< 0.1%

wind_speed_80_m_above_gnd
Real number (ℝ)

HIGH CORRELATION 

Distinct1761
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.978483
Minimum0
Maximum66.88
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:24.788765image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.58
Q110.14
median16.24
Q326.14
95-th percentile43.096
Maximum66.88
Range66.88
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.99996
Coefficient of variation (CV)0.6322929
Kurtosis0.57034405
Mean18.978483
Median Absolute Deviation (MAD)7.34
Skewness0.93151948
Sum79956.35
Variance143.99905
MonotonicityNot monotonic
2024-03-16T01:31:24.878101image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.1 13
 
0.3%
4.69 12
 
0.3%
12.98 12
 
0.3%
10.5 12
 
0.3%
7.9 12
 
0.3%
3.6 11
 
0.3%
6.92 11
 
0.3%
13.68 11
 
0.3%
3.32 11
 
0.3%
11.18 11
 
0.3%
Other values (1751) 4097
97.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.36 3
 
0.1%
0.51 3
 
0.1%
0.72 8
0.2%
0.8 6
0.1%
1.02 2
 
< 0.1%
1.08 3
 
0.1%
1.14 10
0.2%
1.3 4
 
0.1%
1.44 7
0.2%
ValueCountFrequency (%)
66.88 1
< 0.1%
64.9 1
< 0.1%
64.11 1
< 0.1%
63.7 1
< 0.1%
63.64 1
< 0.1%
62.95 1
< 0.1%
62.74 1
< 0.1%
61.43 1
< 0.1%
61.35 1
< 0.1%
60.97 1
< 0.1%

wind_direction_80_m_above_gnd
Real number (ℝ)

HIGH CORRELATION 

Distinct2712
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.16686
Minimum1.12
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:24.962642image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1.12
5-th percentile12.622
Q1130.24
median187.77
Q3292.04
95-th percentile349.326
Maximum360
Range358.88
Interquartile range (IQR)161.8

Descriptive statistics

Standard deviation108.76002
Coefficient of variation (CV)0.56892717
Kurtosis-1.0507898
Mean191.16686
Median Absolute Deviation (MAD)96.85
Skewness-0.24041367
Sum805385.99
Variance11828.742
MonotonicityNot monotonic
2024-03-16T01:31:25.051705image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
360 66
 
1.6%
180 51
 
1.2%
270 38
 
0.9%
90 22
 
0.5%
26.57 22
 
0.5%
315 21
 
0.5%
225 18
 
0.4%
45 16
 
0.4%
206.57 14
 
0.3%
161.57 14
 
0.3%
Other values (2702) 3931
93.3%
ValueCountFrequency (%)
1.12 1
< 0.1%
1.22 1
< 0.1%
1.27 2
< 0.1%
1.47 1
< 0.1%
1.64 1
< 0.1%
1.68 1
< 0.1%
1.79 2
< 0.1%
1.85 1
< 0.1%
1.91 1
< 0.1%
1.96 1
< 0.1%
ValueCountFrequency (%)
360 66
1.6%
359.57 1
 
< 0.1%
359.53 1
 
< 0.1%
359.47 1
 
< 0.1%
359.43 1
 
< 0.1%
359.41 1
 
< 0.1%
358.82 1
 
< 0.1%
358.74 1
 
< 0.1%
358.73 1
 
< 0.1%
358.68 1
 
< 0.1%

wind_speed_900_mb
Real number (ℝ)

HIGH CORRELATION 

Distinct1528
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.36319
Minimum0
Maximum61.11
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:25.253176image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.42
Q19.18
median14.49
Q321.97
95-th percentile35.746
Maximum61.11
Range61.11
Interquartile range (IQR)12.79

Descriptive statistics

Standard deviation9.8853301
Coefficient of variation (CV)0.60411998
Kurtosis1.0526061
Mean16.36319
Median Absolute Deviation (MAD)6.2
Skewness0.99021372
Sum68938.12
Variance97.719751
MonotonicityNot monotonic
2024-03-16T01:31:25.336361image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.69 17
 
0.4%
13.32 15
 
0.4%
10.59 14
 
0.3%
2.9 14
 
0.3%
8.71 13
 
0.3%
14.76 13
 
0.3%
11.3 13
 
0.3%
12.98 12
 
0.3%
13.85 12
 
0.3%
7.7 12
 
0.3%
Other values (1518) 4078
96.8%
ValueCountFrequency (%)
0 2
 
< 0.1%
0.36 4
0.1%
0.51 4
0.1%
0.72 5
0.1%
0.8 2
 
< 0.1%
1.02 4
0.1%
1.08 3
 
0.1%
1.14 7
0.2%
1.3 4
0.1%
1.44 8
0.2%
ValueCountFrequency (%)
61.11 1
< 0.1%
59.13 1
< 0.1%
55.64 1
< 0.1%
55.04 1
< 0.1%
54.94 2
< 0.1%
54.4 1
< 0.1%
53.97 1
< 0.1%
53.86 1
< 0.1%
52.99 1
< 0.1%
52.92 1
< 0.1%

wind_direction_900_mb
Real number (ℝ)

HIGH CORRELATION 

Distinct2510
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.44791
Minimum1.12
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:25.421500image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1.12
5-th percentile12.336
Q1148.22
median187.99
Q3288
95-th percentile350.142
Maximum360
Range358.88
Interquartile range (IQR)139.78

Descriptive statistics

Standard deviation106.51619
Coefficient of variation (CV)0.55348065
Kurtosis-0.9373646
Mean192.44791
Median Absolute Deviation (MAD)84.4
Skewness-0.26576868
Sum810783.05
Variance11345.7
MonotonicityNot monotonic
2024-03-16T01:31:25.511545image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 103
 
2.4%
360 79
 
1.9%
270 37
 
0.9%
225 28
 
0.7%
315 20
 
0.5%
198.43 17
 
0.4%
296.57 17
 
0.4%
161.57 16
 
0.4%
90 16
 
0.4%
18.43 15
 
0.4%
Other values (2500) 3865
91.7%
ValueCountFrequency (%)
1.12 1
 
< 0.1%
1.15 1
 
< 0.1%
1.17 1
 
< 0.1%
1.36 1
 
< 0.1%
1.4 1
 
< 0.1%
1.55 1
 
< 0.1%
1.61 1
 
< 0.1%
1.64 1
 
< 0.1%
1.68 3
0.1%
1.74 1
 
< 0.1%
ValueCountFrequency (%)
360 79
1.9%
359.48 2
 
< 0.1%
359.34 1
 
< 0.1%
359.33 1
 
< 0.1%
358.99 1
 
< 0.1%
358.94 1
 
< 0.1%
358.93 1
 
< 0.1%
358.75 1
 
< 0.1%
358.67 1
 
< 0.1%
358.64 1
 
< 0.1%

wind_gust_10_m_above_gnd
Real number (ℝ)

HIGH CORRELATION 

Distinct189
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.583489
Minimum0.72
Maximum84.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:25.600848image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.72
5-th percentile5.04
Q111.16
median18
Q327
95-th percentile45.36
Maximum84.96
Range84.24
Interquartile range (IQR)15.84

Descriptive statistics

Standard deviation12.648899
Coefficient of variation (CV)0.61451675
Kurtosis1.4141652
Mean20.583489
Median Absolute Deviation (MAD)7.92
Skewness1.1112268
Sum86718.24
Variance159.99465
MonotonicityNot monotonic
2024-03-16T01:31:25.683380image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.52 75
 
1.8%
15.12 66
 
1.6%
15.48 65
 
1.5%
8.28 63
 
1.5%
9.72 63
 
1.5%
9 62
 
1.5%
11.88 62
 
1.5%
12.6 62
 
1.5%
10.8 61
 
1.4%
11.16 59
 
1.4%
Other values (179) 3575
84.9%
ValueCountFrequency (%)
0.72 4
 
0.1%
1.08 3
 
0.1%
1.44 13
0.3%
1.8 10
 
0.2%
2.16 14
0.3%
2.52 19
0.5%
2.88 14
0.3%
3.24 21
0.5%
3.6 29
0.7%
3.96 21
0.5%
ValueCountFrequency (%)
84.96 1
< 0.1%
84.24 1
< 0.1%
82.44 1
< 0.1%
74.52 1
< 0.1%
73.08 1
< 0.1%
72.36 2
< 0.1%
71.28 1
< 0.1%
70.92 1
< 0.1%
70.56 2
< 0.1%
70.2 1
< 0.1%

angle_of_incidence
Real number (ℝ)

HIGH CORRELATION 

Distinct4211
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.83749
Minimum3.7553228
Maximum121.63592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:25.773397image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum3.7553228
5-th percentile14.655781
Q129.408181
median47.335557
Q369.197492
95-th percentile102.01586
Maximum121.63592
Range117.8806
Interquartile range (IQR)39.789311

Descriptive statistics

Standard deviation26.638965
Coefficient of variation (CV)0.52400237
Kurtosis-0.56345312
Mean50.83749
Median Absolute Deviation (MAD)19.649951
Skewness0.48044567
Sum214178.35
Variance709.63446
MonotonicityNot monotonic
2024-03-16T01:31:25.861920image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.209215 3
 
0.1%
58.753108 1
 
< 0.1%
88.591157 1
 
< 0.1%
88.682516 1
 
< 0.1%
74.137204 1
 
< 0.1%
59.698698 1
 
< 0.1%
45.542369 1
 
< 0.1%
32.085911 1
 
< 0.1%
20.829751 1
 
< 0.1%
16.811749 1
 
< 0.1%
Other values (4201) 4201
99.7%
ValueCountFrequency (%)
3.7553228 1
< 0.1%
3.7667248 1
< 0.1%
3.8204094 1
< 0.1%
3.849398 1
< 0.1%
3.8903824 1
< 0.1%
3.9787206 1
< 0.1%
4.0875217 1
< 0.1%
4.1442438 1
< 0.1%
4.2621629 1
< 0.1%
4.3393921 1
< 0.1%
ValueCountFrequency (%)
121.63592 1
< 0.1%
121.4087 1
< 0.1%
117.78135 1
< 0.1%
117.72807 1
< 0.1%
117.72095 1
< 0.1%
117.7039 1
< 0.1%
117.67338 1
< 0.1%
117.66671 1
< 0.1%
117.65179 1
< 0.1%
117.56377 1
< 0.1%

zenith
Real number (ℝ)

HIGH CORRELATION 

Distinct4211
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.980947
Minimum17.727761
Maximum128.41537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:25.947480image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum17.727761
5-th percentile24.620352
Q145.291631
median62.142611
Q374.346737
95-th percentile92.545059
Maximum128.41537
Range110.68761
Interquartile range (IQR)29.055106

Descriptive statistics

Standard deviation19.857711
Coefficient of variation (CV)0.33106699
Kurtosis-0.51386389
Mean59.980947
Median Absolute Deviation (MAD)13.597239
Skewness-0.11127873
Sum252699.73
Variance394.3287
MonotonicityNot monotonic
2024-03-16T01:31:26.033113image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.557956 3
 
0.1%
83.237322 1
 
< 0.1%
80.708745 1
 
< 0.1%
80.542863 1
 
< 0.1%
69.274677 1
 
< 0.1%
58.044645 1
 
< 0.1%
47.331054 1
 
< 0.1%
37.903421 1
 
< 0.1%
31.187585 1
 
< 0.1%
29.195422 1
 
< 0.1%
Other values (4201) 4201
99.7%
ValueCountFrequency (%)
17.727761 1
< 0.1%
17.730682 1
< 0.1%
17.731616 1
< 0.1%
17.740688 1
< 0.1%
17.742244 1
< 0.1%
17.757203 1
< 0.1%
17.759728 1
< 0.1%
17.780767 1
< 0.1%
17.784257 1
< 0.1%
17.811201 1
< 0.1%
ValueCountFrequency (%)
128.41537 1
< 0.1%
127.97644 1
< 0.1%
121.46318 1
< 0.1%
120.23022 1
< 0.1%
119.3571 1
< 0.1%
118.85498 1
< 0.1%
118.67814 1
< 0.1%
118.49663 1
< 0.1%
118.31051 1
< 0.1%
118.11981 1
< 0.1%

azimuth
Real number (ℝ)

HIGH CORRELATION 

Distinct4210
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.16765
Minimum54.379093
Maximum289.04518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:26.121601image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum54.379093
5-th percentile73.24213
Q1114.1366
median163.24165
Q3225.08562
95-th percentile271.21355
Maximum289.04518
Range234.66609
Interquartile range (IQR)110.94902

Descriptive statistics

Standard deviation64.568385
Coefficient of variation (CV)0.38168281
Kurtosis-1.209467
Mean169.16765
Median Absolute Deviation (MAD)56.0946
Skewness0.08114954
Sum712703.31
Variance4169.0763
MonotonicityNot monotonic
2024-03-16T01:31:26.211723image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.98492 3
 
0.1%
129.09833 2
 
< 0.1%
72.941963 1
 
< 0.1%
269.61159 1
 
< 0.1%
260.53663 1
 
< 0.1%
248.63179 1
 
< 0.1%
233.30957 1
 
< 0.1%
212.17348 1
 
< 0.1%
128.33543 1
 
< 0.1%
82.639371 1
 
< 0.1%
Other values (4200) 4200
99.7%
ValueCountFrequency (%)
54.379093 1
< 0.1%
54.44202 1
< 0.1%
54.444449 1
< 0.1%
54.444775 1
< 0.1%
54.451978 1
< 0.1%
54.45271 1
< 0.1%
54.464604 1
< 0.1%
54.48224 1
< 0.1%
54.483961 1
< 0.1%
54.484228 1
< 0.1%
ValueCountFrequency (%)
289.04518 1
< 0.1%
288.92427 1
< 0.1%
288.89975 1
< 0.1%
288.88994 1
< 0.1%
288.88203 1
< 0.1%
288.8688 1
< 0.1%
288.84476 1
< 0.1%
288.74276 1
< 0.1%
288.72197 1
< 0.1%
288.71491 1
< 0.1%

generated_power_kw
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct4213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1134.3473
Minimum0.000595238
Maximum3056.7941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2024-03-16T01:31:26.303395image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.000595238
5-th percentile8.6381164
Q1231.70045
median971.64265
Q32020.9667
95-th percentile2632.6569
Maximum3056.7941
Range3056.7935
Interquartile range (IQR)1789.2662

Descriptive statistics

Standard deviation937.95725
Coefficient of variation (CV)0.82686955
Kurtosis-1.3620671
Mean1134.3473
Median Absolute Deviation (MAD)849.06246
Skewness0.32402487
Sum4779005.2
Variance879763.8
MonotonicityNot monotonic
2024-03-16T01:31:26.392979image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454.10095 1
 
< 0.1%
125.47389 1
 
< 0.1%
45.284444 1
 
< 0.1%
438.81139 1
 
< 0.1%
1130.5908 1
 
< 0.1%
1787.7698 1
 
< 0.1%
2252.2699 1
 
< 0.1%
2515.3178 1
 
< 0.1%
661.30815 1
 
< 0.1%
141.84712 1
 
< 0.1%
Other values (4203) 4203
99.8%
ValueCountFrequency (%)
0.000595238 1
< 0.1%
0.001666667 1
< 0.1%
0.003205128 1
< 0.1%
0.003333333 1
< 0.1%
0.003409091 1
< 0.1%
0.003448276 1
< 0.1%
0.003846154 1
< 0.1%
0.003921569 1
< 0.1%
0.00462963 1
< 0.1%
0.006018519 1
< 0.1%
ValueCountFrequency (%)
3056.7941 1
< 0.1%
3049.4668 1
< 0.1%
3042.2762 1
< 0.1%
3036.9697 1
< 0.1%
3000.4989 1
< 0.1%
2999.3172 1
< 0.1%
2997.9068 1
< 0.1%
2977.094 1
< 0.1%
2976.7425 1
< 0.1%
2964.7868 1
< 0.1%

Interactions

2024-03-16T01:31:20.864779image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:52.621518image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:54.104861image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.491653image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:57.014820image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.422888image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:00.003339image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.411635image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:02.787854image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.225951image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.632903image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:06.992985image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.530854image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:09.936132image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.290021image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:12.791675image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:14.115924image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.582957image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:16.858495image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.184830image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.573418image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:20.934208image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:52.699141image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:54.188376image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.561472image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:57.091515image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.512809image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:00.071929image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.478939image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:02.853570image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.292911image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.702872image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:07.071500image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.604115image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:10.001888image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.361673image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:12.858844image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:14.181583image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.651395image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:16.927667image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.254285image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.642769image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:20.996556image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:52.765220image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:54.251596image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.621846image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:57.153797image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.583698image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:00.131732image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.542958image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:02.911580image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.353145image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.763482image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:07.133079image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.673190image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:10.067805image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.440716image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:12.914821image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:14.251817image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.705979image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:16.983621image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.313065image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.701670image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:21.059253image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:52.834898image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:54.314623image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.681862image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:57.220767image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.652777image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:00.192870image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.602940image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:02.973009image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.431508image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.821611image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:07.200047image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.742619image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:10.123282image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.505117image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:12.977038image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:14.311497image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.769364image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:17.046088image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.365350image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.753890image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:21.123067image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:52.911417image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:54.385025image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.751502image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:57.286055image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.722441image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:00.257225image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.672566image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:03.041660image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.503095image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.885769image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:07.265301image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.811640image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:10.194388image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.579803image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:13.043083image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:14.379423image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.832598image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:17.110697image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.431564image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.821880image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:21.184482image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:52.987099image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:54.451681image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.821472image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:57.366071image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.793150image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:00.323318image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.736580image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:03.108467image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.580660image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.951618image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:07.337065image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.881799image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:10.265477image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.652513image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:13.110681image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:14.449115image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.900091image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:17.181073image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.497193image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.885587image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:21.252866image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:53.056897image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:54.511507image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.997257image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:57.435764image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.861617image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:00.386583image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.801760image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:03.171504image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.653160image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:06.011665image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:07.402533image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.942941image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:10.324797image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.824603image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2024-03-16T01:31:14.504726image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2024-03-16T01:31:17.243236image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2024-03-16T01:31:04.714823image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2024-03-16T01:31:07.465925image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2024-03-16T01:31:10.391632image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.890710image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:13.230957image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:14.574285image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:16.011789image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:17.302708image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2024-03-16T01:31:06.707143image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.242470image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:09.679041image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.033041image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:12.533328image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:13.871488image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.212917image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:16.622713image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:17.942851image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.337349image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:20.621736image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:22.023255image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:53.891835image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.287263image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:56.822935image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.221770image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:59.801440image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.195827image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:02.591548image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.041513image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.443586image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:06.781616image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.314257image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:09.741524image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.095442image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:12.602062image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:13.933023image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.282909image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:16.681740image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.004027image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.399724image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:20.691650image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:22.088608image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:53.953942image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.355267image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:56.890690image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.281416image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:59.865901image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.262534image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:02.658901image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.101054image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.505996image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:06.852911image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.387766image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:09.803946image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.160931image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:12.664658image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:13.992240image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.344844image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:16.741583image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.061874image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.455347image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:20.746989image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:22.153062image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:54.021888image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:55.422871image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:56.950690image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:58.347312image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:30:59.934742image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:01.335750image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:02.721779image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:04.161025image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:05.570717image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:06.921616image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:08.457979image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:09.868430image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:11.223226image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:12.727484image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:14.053468image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:15.523697image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:16.796196image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:18.121799image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:19.516101image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2024-03-16T01:31:20.803113image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Correlations

2024-03-16T01:31:26.471963image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
angle_of_incidenceazimuthgenerated_power_kwhigh_cloud_cover_high_cld_laylow_cloud_cover_low_cld_laymean_sea_level_pressure_MSLmedium_cloud_cover_mid_cld_layrelative_humidity_2_m_above_gndshortwave_radiation_backwards_sfcsnowfall_amount_sfctemperature_2_m_above_gndtotal_cloud_cover_sfctotal_precipitation_sfcwind_direction_10_m_above_gndwind_direction_80_m_above_gndwind_direction_900_mbwind_gust_10_m_above_gndwind_speed_10_m_above_gndwind_speed_80_m_above_gndwind_speed_900_mbzenith
angle_of_incidence1.000-0.262-0.669-0.046-0.005-0.064-0.0440.221-0.565-0.030-0.079-0.024-0.0540.0530.0430.055-0.114-0.157-0.043-0.1170.705
azimuth-0.2621.000-0.0530.013-0.016-0.1550.073-0.5220.5660.0060.3660.0020.0390.0330.0360.0210.1810.2320.0930.180-0.260
generated_power_kw-0.669-0.0531.000-0.125-0.2660.147-0.221-0.3030.554-0.0560.210-0.312-0.158-0.060-0.059-0.066-0.102-0.059-0.141-0.091-0.682
high_cloud_cover_high_cld_lay-0.0460.013-0.1251.0000.0030.0150.4750.074-0.089-0.045-0.0290.4880.031-0.013-0.007-0.0070.1110.0970.1090.1070.054
low_cloud_cover_low_cld_lay-0.005-0.016-0.2660.0031.000-0.2250.2870.484-0.3070.175-0.3570.7060.3680.0720.0580.0730.2030.1450.1450.1330.083
mean_sea_level_pressure_MSL-0.064-0.1550.1470.015-0.2251.000-0.1870.127-0.173-0.073-0.402-0.185-0.234-0.139-0.175-0.146-0.153-0.127-0.082-0.0960.270
medium_cloud_cover_mid_cld_lay-0.0440.073-0.2210.4750.287-0.1871.0000.099-0.1630.028-0.0520.6850.2920.0120.0240.0150.0950.0780.0870.0810.006
relative_humidity_2_m_above_gnd0.221-0.522-0.3030.0740.4840.1270.0991.000-0.7160.142-0.7810.3850.203-0.017-0.039-0.0040.1050.0540.1690.0890.499
shortwave_radiation_backwards_sfc-0.5650.5660.554-0.089-0.307-0.173-0.163-0.7161.000-0.0990.660-0.309-0.159-0.056-0.033-0.0620.0670.143-0.0290.076-0.802
snowfall_amount_sfc-0.0300.006-0.056-0.0450.175-0.0730.0280.142-0.0991.000-0.1690.1370.2190.0580.0540.0600.1310.1360.1280.1320.050
temperature_2_m_above_gnd-0.0790.3660.210-0.029-0.357-0.402-0.052-0.7810.660-0.1691.000-0.297-0.1130.0420.0780.038-0.139-0.084-0.184-0.125-0.543
total_cloud_cover_sfc-0.0240.002-0.3120.4880.706-0.1850.6850.385-0.3090.137-0.2971.0000.2930.0620.0500.0680.2350.1740.1830.1720.110
total_precipitation_sfc-0.0540.039-0.1580.0310.368-0.2340.2920.203-0.1590.219-0.1130.2931.0000.0140.0200.0130.1370.1140.1160.113-0.030
wind_direction_10_m_above_gnd0.0530.033-0.060-0.0130.072-0.1390.012-0.017-0.0560.0580.0420.0620.0141.0000.8860.9270.039-0.082-0.078-0.0990.030
wind_direction_80_m_above_gnd0.0430.036-0.059-0.0070.058-0.1750.024-0.039-0.0330.0540.0780.0500.0200.8861.0000.9160.044-0.040-0.037-0.0550.016
wind_direction_900_mb0.0550.021-0.066-0.0070.073-0.1460.015-0.004-0.0620.0600.0380.0680.0130.9270.9161.0000.051-0.060-0.054-0.0750.035
wind_gust_10_m_above_gnd-0.1140.181-0.1020.1110.203-0.1530.0950.1050.0670.131-0.1390.2350.1370.0390.0440.0511.0000.8710.8710.860-0.053
wind_speed_10_m_above_gnd-0.1570.232-0.0590.0970.145-0.1270.0780.0540.1430.136-0.0840.1740.114-0.082-0.040-0.0600.8711.0000.9520.989-0.090
wind_speed_80_m_above_gnd-0.0430.093-0.1410.1090.145-0.0820.0870.169-0.0290.128-0.1840.1830.116-0.078-0.037-0.0540.8710.9521.0000.9660.057
wind_speed_900_mb-0.1170.180-0.0910.1070.133-0.0960.0810.0890.0760.132-0.1250.1720.113-0.099-0.055-0.0750.8600.9890.9661.000-0.029
zenith0.705-0.260-0.6820.0540.0830.2700.0060.499-0.8020.050-0.5430.110-0.0300.0300.0160.035-0.053-0.0900.057-0.0291.000

Missing values

2024-03-16T01:31:22.253365image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T01:31:22.441566image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

temperature_2_m_above_gndrelative_humidity_2_m_above_gndmean_sea_level_pressure_MSLtotal_precipitation_sfcsnowfall_amount_sfctotal_cloud_cover_sfchigh_cloud_cover_high_cld_laymedium_cloud_cover_mid_cld_laylow_cloud_cover_low_cld_layshortwave_radiation_backwards_sfcwind_speed_10_m_above_gndwind_direction_10_m_above_gndwind_speed_80_m_above_gndwind_direction_80_m_above_gndwind_speed_900_mbwind_direction_900_mbwind_gust_10_m_above_gndangle_of_incidencezenithazimuthgenerated_power_kw
02.17311035.00.00.00.00000.006.37312.719.3622.626.62337.6224.4858.75310883.237322128.33543454.100950
12.31271035.10.00.00.00001.785.15294.785.9932.744.61321.3421.9645.40858575.143041139.655301411.999400
23.65331035.40.00.00.0000108.584.68270.003.8956.313.76286.7014.0432.84828268.820648152.537692214.849300
35.82301035.40.00.00.0000258.103.60323.133.5523.963.08339.4419.8022.69928864.883536166.901592527.609200
47.73271034.40.00.00.0000375.586.2110.016.7625.206.6222.3816.5619.19990863.795208182.135262640.203400
58.69291034.60.00.00.0000449.456.2923.637.1030.476.9227.9017.2825.08816765.700860197.220622546.081600
69.72271034.00.00.00.0000469.925.9625.026.6129.366.4426.5712.9636.19751470.351498211.214222270.320700
710.07281034.10.00.00.0000436.997.0714.747.6319.297.5216.7010.8049.07300877.228779223.656411063.830200
89.38321033.90.00.00.0000353.339.426.5810.505.9110.146.1211.5262.37114085.585411234.5030886.817611
96.54471035.10.00.00.0000228.737.92360.0012.251.6811.531.7912.24105.866560121.463180216.067569.666667
temperature_2_m_above_gndrelative_humidity_2_m_above_gndmean_sea_level_pressure_MSLtotal_precipitation_sfcsnowfall_amount_sfctotal_cloud_cover_sfchigh_cloud_cover_high_cld_laymedium_cloud_cover_mid_cld_laylow_cloud_cover_low_cld_layshortwave_radiation_backwards_sfcwind_speed_10_m_above_gndwind_direction_10_m_above_gndwind_speed_80_m_above_gndwind_direction_80_m_above_gndwind_speed_900_mbwind_direction_900_mbwind_gust_10_m_above_gndangle_of_incidencezenithazimuthgenerated_power_kw
420311.54541023.90.00.06.62200339.0921.96179.0625.20180.0022.33178.1531.3249.35329877.504836223.7669188.522500
42043.13941025.90.00.044.0334400.0011.59216.1617.08235.3015.38212.5729.5272.20077692.520489118.4693814.523889
42050.73991027.30.00.036.0133602.6713.20244.1319.20263.5414.08237.5321.9658.63485583.222229128.50129129.439170
42065.01781027.40.00.0100.02235100110.368.40260.1314.78267.217.52253.3012.2445.30866675.151027139.82631389.736670
42077.51721026.00.00.0100.010067100137.0610.63298.3012.88296.5711.27296.5711.8832.78136568.857259152.71076523.156940
42088.69661025.10.00.0100.0100100100257.2121.66285.4225.50283.0624.01282.9925.2022.70090764.952098167.06794173.410560
42097.57901026.10.00.0100.079100100210.0411.976.9113.004.7611.617.1310.4419.30748763.895118182.28247403.792220
42107.27901026.30.10.0100.073100100113.929.012.298.71352.877.95354.8122.3225.24950665.827032197.33868158.367780
42118.25811025.50.00.0100.07466100186.907.3411.316.2913.245.9414.0415.4836.36116170.496313211.30027126.953060
42128.00801025.30.00.0100.0100100100172.6611.4412.7212.0717.3511.3818.4316.2048.45284976.919574223.0493120.055031